Moist Physics Parameterization

Moist Physics Parameterization is a computational method in atmospheric modeling that represents subgrid-scale processes involving phase changes of water, cloud microphysics, and latent heat transfer, distinguishing it from other physical parameterizations by its focus on moisture-related thermodynamic and dynamic interactions within the atmosphere.

120

Publications

7.9K

Citations

320

Authors

128

Institutions

Publications per year

2017–2026

27

Authors

320

  1. CS
    Christopher S. Bretherton

    University of Washington, United States

    5 publications · 513 citations

    5

    h-index

  2. RM
    Ronald M. Errico

    NSF National Center for Atmospheric Research, United States

    5 publications · 223 citations

    5

    h-index

  3. NB
    Noah Brenowitz

    Allen Institute for Artificial Intelligence, United States

    4 publications · 494 citations

    4

    h-index

  4. YH
    Yilun Han

    Scripps Institution of Oceanography, United States

    3 publications · 251 citations

    3

    h-index

  5. MJ
    Max J. Suárez

    Goddard Space Flight Center, United States

    3 publications · 169 citations

    3

    h-index

1–5 of 320

Venues

  1. Monthly Weather Review

    19 publications · 2.7K citations

    18

    h-index

  2. 12

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 12 publications · 757 citations

    10

    h-index

  4. Journal of the Atmospheric Sciences

    10 publications · 373 citations

    10

    h-index

  5. Journal of Advances in Modeling Earth Systems

    JAMES · 8 publications · 484 citations

    8

    h-index

1–5